Showing cs.IRShow all
2 papers · 1 filter
cs.IR2026
An LLM-powered Agentic Recommendation System for Connected TV Content Discovery
Lei Shi, Di Wang, Harry Tran +23
Recommendation systems, from traditional multi-stage to recent unified generative architectures, face challenges in incorporating diverse contextual signals, such as trending topic…
cs.IR2026
Domain-Specific Query Understanding for Automotive Applications: A Modular and Scalable Approach
Isha Motiyani, Abhishek Kumar, Tilak Kasturi
Despite the growing prevalence of large language models (LLMs) in domain-specific applications, the challenge of query understanding in the automotive sector still remains underexp…